5153 research outputs found
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Pulmonary Surfactant Proteins: Function, Structure, and Structural Binding with Carbon Nano-tubes
No full textAlveolar air sacs of lungs are filled with pulmonary surfactant made up of mixture of phospholipids and proteins namely SP-A, SP-B,SP-C and SP-D secreted by Type-II alveolar cells. SP-A and SP-D are hydrophilic proteins and play role in pulmonary host defense mechanism. SP-B and SP-C are hydrophobic; determining the formation of surfactant layers and lowers the surface tension. Deficiency of the surfactant proteins is the leading cause of respiratory distress syndrome in premature newborns leading to breathing problems or even death. Early detection of this deficiency is very important; in this poster, we will discuss a design idea of a carbon nanotube based sensor to quantify the pulmonary surfactant protein
Steganography by Multipoint Arabic Letters
No full textSecurity issues are taken into consideration for many applications, where transfering sensitive data over network must be protected from any man-in-the-middle attackers. proivacy of data can be granted using encryption, by changing transmitted data into cipher form. Apart from encryption, hiding of data represents another technique to transfer data without being noticble by an attacker which is called Steganography. In this paper, we will discuss the main concepts of Steganography and a carrier media that is used for this goal
UB Breakthroughs Fall 2012
No full textThe UB Breakthroughs newsletter for fall of 2012. This issue contains articles discussing Dr. Sobh's robotics research in the Robotics, Intelligence Sensing and Control (RISC) Laboratory, Dr. Elleithy's and UB's involvement in developing a camera system for a new small unmanned aerial vehicle (UAV), professor Noe's research in Cherokee healing practices and indigenous plant use for cancer and HIV treatment, professor Gary Munch's creation of fonts for the Cherokee Nation's written language, how UB's new transmission electron microscope (TEM) is helping UB collaborate with other research institutions, research projects in biomedical engineering, Dr. Queenan's research on the incorporation of science content and reading comprehension instruction, Dr. Kongar's research on the recycling and remanufacturing of electronic components, Dr. Engelmann's research into plant genetic variation in thermal tolerance, professor Funk's research examining the link between proprioception and pain, Dr. Benjamin's research into international corruption, Director Brett's study in an integrated team treating patients across health disciplines, Dr. Zhang's work in renewable energy and the creation of the Renewable Energy Research Laboratory at UB, Dr. Wu's research analyzing the differences between the US and Chinese financial markets, professor Risom's study in the use of video tutorials to supplement the instruction of instrument skills, and UB's CTech IncUBator program for incubating the creation of high-tech start-up companies
Optimized Algorithm for Fire Detection over WSN using Micaz Motes
No full textEnvironment degradation around the world has motivated many researchers to deal with an important yet endangering aspect of rural and forest fires. Most of the current developed technologies are based on detection of the fire rather than verifying it. Detecting the fire can be useful in many cases but it is still not efficiently implemented in real time systems. However, detecting fire systems can help many modern cities improve their smoke detection systems. Therefore, in this paper we introduce and implement a fire detecting algorithm built on measuring the temperature of a certain area and detecting the fire. We have also used a mathematical model called the “Acoustic ranging Technique” to detect the location and set the alarm in case of a fire. In our implementation we have used multiple MTS 300 sensor boards mounted on MICAz motes, in order to sense the temperature of the fire with respect to the energy consumption. Hence, with use of the implemented algorithm, we can verify the size of the fire from temperature recorded and analyzed based on the color temperature. Finally, in this paper we could prove that the relation between the type of fire and its colors can be used in detecting the size of the fire efficiently
A Statistical Approach to Improve the Residential Life in UB
No full textThis project aims at improving the residential life in the University of Bridgeport , with a special emphasis on North Hall and South Hall. With this motivation, this study depicts the facilities that are provided to the UB students and analyzes the problems that residents are facing in the dormitories. A survey has been conducted among the residents using the study published by Serwint, J. R., Feigelman, S., Dumont-Driscoll, M., Collins, R., Zhan, M., & Kittredge, D. After the data collection, the data have been analyzed to provide customized solutions for the improvement of the student residential life. Resident satisfaction was defined as satisfied or not satisfied on a survey sheet
Security in Wireless Sensor Networks - Improving the LEAP Protocol
No full textWireless sensor networks are becoming significantly vital to many applications, and they were initially used by the military for surveillance purposes. One of the biggest concerns of WSNs is that they are very defenceless to security threats. Due to the fact that these networks are susceptible to hackers; it is possible for one to enter and render a network. For example, such networks may be hacked into in the military, using the system to attack friendly forces. Leap protocol offers many security benefits to WSNs. However, with much research it became apparent that LEAP only employs one base station and always assumes that it is trustworthy. It does not consist of defence against hacked or compromised base stations. In this paper, intensive research was undertaken on LEAP protocols, finding out its security drawbacks and limitations. A solution has been proposed in order to overcome the security issues faced in implementing this protocol whilst employing more than one base station. The performance of the proposed solution has been evaluated and simulated to provide a better network performance
Scheduling Electric Power Restoration
No full textAfter Tropical Storm Irene and the Halloweensnowstorm, everybody understands the need for rapid restoration of electric power. Optimal job scheduling is an NP-complete problem, which means, in ordinary English, that the only known solution is a full enumeration of all possible schedules. As near as we can tell, CL&P uses either a "First Come, First Served" (FCFS) policy or an "Outside In" policy for scheduling their crews. FCFS means that the jobs are scheduled in the order that they're called in, and "Outside In" means that crews are sent to the borders of affected areas and they then work their way in to the center of an affected area. This last method is equivalent to what's called the "Nearest Neighbor" algorithm, which is equivalent to "Shortest Travel Time First" scheduling. The authors wondered whether a scheduling algorithm known as "Longest Remaining Job First" (LRJF) might produce better results. LRJF is a "near-optimal" algorithm, apparently discovered by Prof. Todd in the early 90s, that when used for scheduling jobs for parallel processing, results in faster job completion times
Bank ATM Machine Simulation using Multiple Inheritance and Polymorphism in C++
No full textATM is one of the main sources of withdrawal and/or deposit of money nowadays. In this project, a simulation of a location with multiple ATM Machines (say ATM booth outside the banks) is attempted. The ATM Machine must be capable of servicing different types of account holders (customers) depending on account type and transaction type. A customer can perform four transactions i.e. Withdrawal,Deposit, Transfer and Balance Inquiry. Also, a customer can have two types of Accounts, namely, Personal and Business accounts with four possible subtypes of each. Thus, a three level inheritance model is used. The important technique is to find similar data members among them and use multiple level inheritance to maximize code reuse as well as to use method overriding to implement polymorphism. Multiple inheritance creates a diamond problem, with which, the UML diagram looks like a diamond and the derived class will inherent indirectly multiple copies from the first base class it's protected data members and public methods making them ambiguous, so, they will not get past the compiler; while using overriding technique in polymorphism to use two accessor methods for the hierarchy creates a problem of accessing many Data Types using only these two methods. This project will show the solution of how to solve diamond problem and overriding accessor methods as well as the important components used
Performance Evaluation of AODV and DSR Routing Protocols in MANET Networks
No full textExtensive use of wireless networks in different fields increases the need to improve their performance, as well as minimize the amplitude of loss messages. Device mobility, where there is no standard topology that can be applied or fixed routing that can be designed, is a topic that received recent attention in wireless networks. In a Mobile Ad Hoc Network (MANET), some nodes may join the network while others may leave. In this paper, we analyze a MANET’s performance for two proactive protocols; Ad Hoc On-Demand Distance Vector (AODV) Protocol, and Dynamic Source Routing (DSR) Protocol. By using network simulator NS2, we setup and evaluate the performance of AODV and DSR protocols with respect to the packets’size